“三位一体”理念视域下知识图谱赋能新能源专业课程数字化转型的研究

Research on Knowledge Graph-Enabled Digital Transformation of New Energy Professional Courses under the “Trinity” Concept

摘要: 知识图谱作为教育人工智能应用的基础资源，能够对教学资源进行语义化聚合、可视化呈现学科知识关联，并为学生画像及个性化学习推荐提供技术支撑，已成为推动课程数字化转型的关键技术之一。本文以价值塑造、知识传授和能力培养“三位一体”教学理念为基石，以新能源科学与工程专业课程为研究对象，系统构建知识图谱赋能课程数字化转型的理论框架与实践路径。本研究为新能源专业课程数字化与知识图谱融合提供了新的理论视角与实践方案，对深化专业课程数字化转型规律的认识具有一定的参考价值。

Abstract: As fundamental underlying resources for educational artificial intelligence (AI) applications, knowledge graphs enable the semantic aggregation of instructional resources and the visual representation of disciplinary knowledge correlations. Furthermore, they provide robust technical support for learner profiling and personalized learning recommendation systems, rendering knowledge graphs a core enabling technology for the digital transformation of curriculum education. Anchored in the holistic pedagogical principle that integrates value shaping, knowledge impartation, and competency cultivation into a unified organic whole, this study focuses on the courses of the New Energy Science and Engineering major. It systematically constructs a theoretical framework and practical implementation pathway for curriculum digital transformation empowered by knowledge graph technology. This research delivers an innovative theoretical perspective and a feasible practical scheme for the deep integration of digital transformation and knowledge graph applications in professional courses of new energy disciplines. Additionally, it provides valuable references for in-depth comprehension of the inherent principles governing the digital transformation of higher vocational and undergraduate professional curricula.